Articles | Volume 13, issue 2
https://doi.org/10.5194/gmd-13-521-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-521-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
11 Feb 2020
Development and technical paper |
| 11 Feb 2020
| 11 Feb 2020
Implementation of a roughness sublayer parameterization in the Weather Research and Forecasting model (WRF version 3.7.1) and its evaluation for regional climate simulations
Junhong Lee
Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
current affiliation: Max Planck Institute for Meteorology, Hamburg,
Germany
Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
Yign Noh
Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
Pedro A. Jiménez
Research Application Laboratory, National Center for Atmospheric
Research, Boulder, CO, USA
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Cited
17 citations as recorded by crossref.
- Height Correction Method Based on the Monin–Obukhov Similarity Theory for Better Prediction of Near-Surface Wind Fields J. Lee et al. https://doi.org/10.2139/ssrn.4133432
- Development of a morphology-based wind speed model in the urban roughness sub-layer Q. Gao et al. https://doi.org/10.1016/j.jweia.2024.105871
- Optimization of parameters in the surface-layer scheme of the Weather Research and Forecasting (WRF) model for near-surface wind and temperature J. Lee et al. https://doi.org/10.1016/j.atmosres.2026.109034
- Integral turbulence characteristics over a clear woodland forest in northern Benin (West Africa) M. Hounsinou et al. https://doi.org/10.1016/j.atmosres.2021.105985
- Pathways of ice multiplication in nimbostratus clouds during the Indian summer monsoon G. Kambrath et al. https://doi.org/10.1016/j.atmosres.2024.107590
- Consideration of Top-down Greenhouse Gas Estimation Approaches to Prepare Carbon Neutral Policy S. Joo et al. https://doi.org/10.5572/KOSAE.2022.38.6.933
- Seasonal variation of the surface wind forecast performance of the high-resolution WRF-RTFDDA system over China L. Pan et al. https://doi.org/10.1016/j.atmosres.2021.105673
- Enhancement of ANN-based wind power forecasting by modification of surface roughness parameterization over complex terrain J. Kim et al. https://doi.org/10.1016/j.jenvman.2024.121246
- Probing eddy size and its effective mixing length in stably stratified roughness sublayer flows O. Peltola et al. https://doi.org/10.1002/qj.4386
- Effects of vertical ship exhaust plume distributions on urban pollutant concentration – a sensitivity study with MITRAS v2.0 and EPISODE-CityChem v1.4 R. Badeke et al. https://doi.org/10.5194/gmd-15-4077-2022
- A Hybrid Wind Speed Forecasting Framework Based on Downscaled Multi-Model Forecasts and Machine Learning for Day-Ahead Wind Power Applications D. Oh et al. https://doi.org/10.3390/en19122928
- Height correction method based on the Monin–Obukhov similarity theory for better prediction of near-surface wind fields J. Lee et al. https://doi.org/10.1016/j.atmosres.2023.106882
- Visual perception of wind hazards using cycloidal scanning LiDAR system G. Kim et al. https://doi.org/10.1038/s41598-025-89112-y
- Influence of the Local Urban Environment on the Thermoradiative and Hydrological Behavior of a Garden Lawn A. Lemonsu et al. https://doi.org/10.1175/JAMC-D-21-0067.1
- Adjustments to the law of the wall above an Amazon forest explained by a spectral link L. Mortarini et al. https://doi.org/10.1063/5.0135697
- Regional climate model intercomparison over the Tibetan Plateau in the GEWEX/LS4P Phase I J. Tang et al. https://doi.org/10.1007/s00382-023-06992-4
- Factor analysis of recent major heatwaves in East Asia A. Yoon et al. https://doi.org/10.1016/j.gsf.2023.101730
17 citations as recorded by crossref.
- Height Correction Method Based on the Monin–Obukhov Similarity Theory for Better Prediction of Near-Surface Wind Fields J. Lee et al. https://doi.org/10.2139/ssrn.4133432
- Development of a morphology-based wind speed model in the urban roughness sub-layer Q. Gao et al. https://doi.org/10.1016/j.jweia.2024.105871
- Optimization of parameters in the surface-layer scheme of the Weather Research and Forecasting (WRF) model for near-surface wind and temperature J. Lee et al. https://doi.org/10.1016/j.atmosres.2026.109034
- Integral turbulence characteristics over a clear woodland forest in northern Benin (West Africa) M. Hounsinou et al. https://doi.org/10.1016/j.atmosres.2021.105985
- Pathways of ice multiplication in nimbostratus clouds during the Indian summer monsoon G. Kambrath et al. https://doi.org/10.1016/j.atmosres.2024.107590
- Consideration of Top-down Greenhouse Gas Estimation Approaches to Prepare Carbon Neutral Policy S. Joo et al. https://doi.org/10.5572/KOSAE.2022.38.6.933
- Seasonal variation of the surface wind forecast performance of the high-resolution WRF-RTFDDA system over China L. Pan et al. https://doi.org/10.1016/j.atmosres.2021.105673
- Enhancement of ANN-based wind power forecasting by modification of surface roughness parameterization over complex terrain J. Kim et al. https://doi.org/10.1016/j.jenvman.2024.121246
- Probing eddy size and its effective mixing length in stably stratified roughness sublayer flows O. Peltola et al. https://doi.org/10.1002/qj.4386
- Effects of vertical ship exhaust plume distributions on urban pollutant concentration – a sensitivity study with MITRAS v2.0 and EPISODE-CityChem v1.4 R. Badeke et al. https://doi.org/10.5194/gmd-15-4077-2022
- A Hybrid Wind Speed Forecasting Framework Based on Downscaled Multi-Model Forecasts and Machine Learning for Day-Ahead Wind Power Applications D. Oh et al. https://doi.org/10.3390/en19122928
- Height correction method based on the Monin–Obukhov similarity theory for better prediction of near-surface wind fields J. Lee et al. https://doi.org/10.1016/j.atmosres.2023.106882
- Visual perception of wind hazards using cycloidal scanning LiDAR system G. Kim et al. https://doi.org/10.1038/s41598-025-89112-y
- Influence of the Local Urban Environment on the Thermoradiative and Hydrological Behavior of a Garden Lawn A. Lemonsu et al. https://doi.org/10.1175/JAMC-D-21-0067.1
- Adjustments to the law of the wall above an Amazon forest explained by a spectral link L. Mortarini et al. https://doi.org/10.1063/5.0135697
- Regional climate model intercomparison over the Tibetan Plateau in the GEWEX/LS4P Phase I J. Tang et al. https://doi.org/10.1007/s00382-023-06992-4
- Factor analysis of recent major heatwaves in East Asia A. Yoon et al. https://doi.org/10.1016/j.gsf.2023.101730
Saved (final revised paper)
Latest update: 30 Jun 2026
Short summary
As the computing power increases, the grid size of atmospheric models moves toward the gray zone of turbulence (the scales on the order of the energy-containing range). Nevertheless, the roughness sublayer, which is a compartment of the inertial sublayer, has not been considered in high-resolution mesoscale models. This study coupled a roughness sublayer parameterization into the Weather Research and Forecasting model and evaluated its performance to simulate climate near the Earth's surface.
As the computing power increases, the grid size of atmospheric models moves toward the gray zone...
